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Inpainting and Denoising Challenges - The Springer Series on Challenges in Machine Learning 2019 edition
Inpainting and Denoising Challenges - The Springer Series on Challenges in Machine Learning
This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants.
144 pages, 56 Illustrations, color; 9 Illustrations, black and white; VIII, 144 p. 65 illus., 56 ill
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2020. gada 17. oktobris |
| ISBN13 | 9783030256166 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 144 |
| Izmēri | 150 × 220 × 10 mm · 244 g |
| Valoda | Vācu |
| Redaktors | Ayache, Stephane |
| Redaktors | Baro, Xavier |
| Redaktors | Escalera, Sergio |
| Redaktors | Guclu, Umut |
| Redaktors | Madadi, Meysam |
| Redaktors | Wan, Jun |